SlideShare una empresa de Scribd logo
1 de 36
Descargar para leer sin conexión
Dekho queries
Agenda
•   Introduction to Dekho queries
•   Query types and how to use them
•   Spatially enabled queries
•   Best practices and considerations
Complete the picture… with queries..
Dekho queries
• Pull information from data sources
   – Internal / External
   – Database / Web service / Map service

• Defined in Dekho Studio

• Executed in runtime by end user

• Require some SQL skills

• Reusable between applications
Query sources
• JDBC connection
• Esri ArcGIS Server Map Service (GDB Only)
• Web Service
Query types
• Searching
  – Search 1
  – Combo + Type-Ahead
• Result viewing
  – Layer Information Query   2
  – Feature Info Query 3
• Others
  – Call out
  – Integration
Defining a Search Query
• Always executed against a feature class in the GDB
• Returning a single spatial feature set (ObjectID)
• User interaction – data entry fields (optional)

Select * from [Feature Class]
Where [User data entry]

Select * from properties
Where street_name like %Manningtree%
User data entry fields
• Go into the “Where
  clause” of the search
  SQL statement

• Text / Date / List / Drop
  Down
Type-ahead   Combo-box
Combo and Type-ahead
• Structure user data entry in search queries
• ANY database (not just the GDB)
• Lists Of Values (LOV):
   – Value = What you display              ID    Value
   – ID = What you use                     Vic   Victoria
• Ordered (? Your call…)                   NSW   New South Wales
                                           Tas   Tasmania
                                           WA    West Australia
                                           SA    South Australia
                                           NT    Northern Territory
Reusing Combo and Type-ahead
• Define once and reuse

 Search #1        Search #2   Search #3




                 Combo-Box
                   Query
Working with search results
• Working with a complete picture
• Connecting with non-spatial data
                                          ObjectID
  sources                                   ObjectID
                                     ObjectID
                                              ObjectID
                                       ObjectID
• Getting the information you need       ObjectIDObjectID
                                            ObjectID
LIQ’s and FIQ’s


Layer Information




 Specific feature
 Information
Getting the information you need

                  Current
                              GDB
                  Selected
                  Feature


Asset ID



     Asset Mgmt              The information
       System                I wish to display
Getting the information you need
                                             Foreign Asset Id KEY

                    ObjectID             AssetID


       ObjectID                                                GDB




Asset ID
              AID



     Asset Mgmt
       System
                               AssetID
GDB link to 3rd party systems
Getting the information you need
ObjectID      AssetID




                AID
                        X     Y             Z
What Dekho does:
1. Get AssetId by ObjectID (GDB)

2. Find row in AMS table based on AssetID

3. Select relevant fields (X,Y,Z)
Getting the data you need
        Asset ID                                     ObjectID+AssetID


                        Mapping relationship
                   SELECTION.AssetID = AMS.AssetID


Asset Mgmt
                                                            GDB
  System
LIQ’s and FIQ’s
Multiple queries span across multiple tabs
Example: reviewing a property




                      FIQ1                       FIQ3
                                   FIQ2


Owners history list                                Lot # information

                             Related approvals
Queries and maps
Query types
• Searching
  – Search
  – Combo + Typeahead
• Result viewing
  – Layer Information Query
  – Feature Info Query
• Others
  – Call out
  – Integration
Callout Query
• Any data source
• Select relevant fields
Dekho Integration Query
• SQL query that translates one set of values
  (OBJECTID) to another (ASSETID)
Dekho Integration Query
Dekho Integration Query
Query types
• Searching
  – Search
  – Combo + Typeahead
• Result viewing
  – Layer Information Query
  – Feature Info Query
• Others
  – Call out
  – Integration
Spatial selection

I want users to search a heritage site
          and see properties
   that intersect with the selected
             heritage site
Spatial selection
                                     Spatial query


Property lot layer




Heritage site layer




                      Search query
Queries points for consideration
Remember!!
• Spatial query is optional
  – Search query
  – Feature Info query


• Results are from the TARGET layer
Queries points for consideration
• Renaming DB fields names to logical names
      select Field_Name1 as “User Friendly Name1”

• Complete the picture vs. Information overload
   – Avoid select * statements
   – Use multiple FIQ’s and LIQ’s
   – Map to end user workflow


• Query performance optimization
Complete the picture… with queries..
Product Information:

www.esriaustralia.com.au/dekho

www.esriaustralia.com.au/dekhohelp

www.esriaustralia.com.au/dekhoblog

Más contenido relacionado

Similar a Tutorial dekho queries

Advanced Computing Meets Data FAIRness
Advanced Computing Meets Data FAIRnessAdvanced Computing Meets Data FAIRness
Advanced Computing Meets Data FAIRnessGlobus
 
Test driving Azure Search and DocumentDB
Test driving Azure Search and DocumentDBTest driving Azure Search and DocumentDB
Test driving Azure Search and DocumentDBAndrew Siemer
 
Paul2 ecn 2012
Paul2 ecn 2012Paul2 ecn 2012
Paul2 ecn 2012ECNOfficer
 
PHP Starter Application
PHP Starter ApplicationPHP Starter Application
PHP Starter Applicationkimprince
 
Distributed objects & components of corba
Distributed objects & components of corbaDistributed objects & components of corba
Distributed objects & components of corbaMayuresh Wadekar
 
MongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: Tutorial
MongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: TutorialMongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: Tutorial
MongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: TutorialMongoDB
 
Fast querying indexing for performance (4)
Fast querying   indexing for performance (4)Fast querying   indexing for performance (4)
Fast querying indexing for performance (4)MongoDB
 
The InfoGrid Graph DataBase
The InfoGrid Graph DataBaseThe InfoGrid Graph DataBase
The InfoGrid Graph DataBaseInfoGrid.org
 
Modularity and Domain Driven Design - A killer combination - T De Wolf & S va...
Modularity and Domain Driven Design - A killer combination - T De Wolf & S va...Modularity and Domain Driven Design - A killer combination - T De Wolf & S va...
Modularity and Domain Driven Design - A killer combination - T De Wolf & S va...mfrancis
 
Modularity and Domain Driven Design; a killer combination?
Modularity and Domain Driven Design; a killer combination?Modularity and Domain Driven Design; a killer combination?
Modularity and Domain Driven Design; a killer combination?ACA IT-Solutions
 
Functional and Architectural Requirements for Metadata: Supporting Discovery...
Functional and Architectural Requirements for Metadata: Supporting Discovery...Functional and Architectural Requirements for Metadata: Supporting Discovery...
Functional and Architectural Requirements for Metadata: Supporting Discovery...Jian Qin
 
WSO2 Data Services Server - Product Overview
WSO2 Data Services Server - Product OverviewWSO2 Data Services Server - Product Overview
WSO2 Data Services Server - Product OverviewWSO2
 
Hibernate in XPages
Hibernate in XPagesHibernate in XPages
Hibernate in XPagesToby Samples
 
Sieve - Data Quality and Fusion - LWDM2012
Sieve - Data Quality and Fusion - LWDM2012Sieve - Data Quality and Fusion - LWDM2012
Sieve - Data Quality and Fusion - LWDM2012Pablo Mendes
 

Similar a Tutorial dekho queries (20)

Advanced Computing Meets Data FAIRness
Advanced Computing Meets Data FAIRnessAdvanced Computing Meets Data FAIRness
Advanced Computing Meets Data FAIRness
 
Test driving Azure Search and DocumentDB
Test driving Azure Search and DocumentDBTest driving Azure Search and DocumentDB
Test driving Azure Search and DocumentDB
 
Paul2 ecn 2012
Paul2 ecn 2012Paul2 ecn 2012
Paul2 ecn 2012
 
PHP Starter Application
PHP Starter ApplicationPHP Starter Application
PHP Starter Application
 
Distributed objects & components of corba
Distributed objects & components of corbaDistributed objects & components of corba
Distributed objects & components of corba
 
6425 c 01
6425 c 016425 c 01
6425 c 01
 
NoSQL for SQL Users
NoSQL for SQL UsersNoSQL for SQL Users
NoSQL for SQL Users
 
MongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: Tutorial
MongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: TutorialMongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: Tutorial
MongoDB .local Chicago 2019: Practical Data Modeling for MongoDB: Tutorial
 
Fast querying indexing for performance (4)
Fast querying   indexing for performance (4)Fast querying   indexing for performance (4)
Fast querying indexing for performance (4)
 
The InfoGrid Graph DataBase
The InfoGrid Graph DataBaseThe InfoGrid Graph DataBase
The InfoGrid Graph DataBase
 
Modularity and Domain Driven Design - A killer combination - T De Wolf & S va...
Modularity and Domain Driven Design - A killer combination - T De Wolf & S va...Modularity and Domain Driven Design - A killer combination - T De Wolf & S va...
Modularity and Domain Driven Design - A killer combination - T De Wolf & S va...
 
Modularity and Domain Driven Design; a killer combination?
Modularity and Domain Driven Design; a killer combination?Modularity and Domain Driven Design; a killer combination?
Modularity and Domain Driven Design; a killer combination?
 
Functional and Architectural Requirements for Metadata: Supporting Discovery...
Functional and Architectural Requirements for Metadata: Supporting Discovery...Functional and Architectural Requirements for Metadata: Supporting Discovery...
Functional and Architectural Requirements for Metadata: Supporting Discovery...
 
WSO2 Data Services Server - Product Overview
WSO2 Data Services Server - Product OverviewWSO2 Data Services Server - Product Overview
WSO2 Data Services Server - Product Overview
 
Azure Fundamentals.pdf
Azure Fundamentals.pdfAzure Fundamentals.pdf
Azure Fundamentals.pdf
 
Hibernate in XPages
Hibernate in XPagesHibernate in XPages
Hibernate in XPages
 
Java and Mongo
Java and MongoJava and Mongo
Java and Mongo
 
Migrate
MigrateMigrate
Migrate
 
Corba
CorbaCorba
Corba
 
Sieve - Data Quality and Fusion - LWDM2012
Sieve - Data Quality and Fusion - LWDM2012Sieve - Data Quality and Fusion - LWDM2012
Sieve - Data Quality and Fusion - LWDM2012
 

Último

How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 

Último (20)

How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 

Tutorial dekho queries

  • 2. Agenda • Introduction to Dekho queries • Query types and how to use them • Spatially enabled queries • Best practices and considerations
  • 3. Complete the picture… with queries..
  • 4. Dekho queries • Pull information from data sources – Internal / External – Database / Web service / Map service • Defined in Dekho Studio • Executed in runtime by end user • Require some SQL skills • Reusable between applications
  • 5. Query sources • JDBC connection • Esri ArcGIS Server Map Service (GDB Only) • Web Service
  • 6. Query types • Searching – Search 1 – Combo + Type-Ahead • Result viewing – Layer Information Query 2 – Feature Info Query 3 • Others – Call out – Integration
  • 7.
  • 8. Defining a Search Query • Always executed against a feature class in the GDB • Returning a single spatial feature set (ObjectID) • User interaction – data entry fields (optional) Select * from [Feature Class] Where [User data entry] Select * from properties Where street_name like %Manningtree%
  • 9. User data entry fields • Go into the “Where clause” of the search SQL statement • Text / Date / List / Drop Down
  • 10. Type-ahead Combo-box
  • 11. Combo and Type-ahead • Structure user data entry in search queries • ANY database (not just the GDB) • Lists Of Values (LOV): – Value = What you display ID Value – ID = What you use Vic Victoria • Ordered (? Your call…) NSW New South Wales Tas Tasmania WA West Australia SA South Australia NT Northern Territory
  • 12. Reusing Combo and Type-ahead • Define once and reuse Search #1 Search #2 Search #3 Combo-Box Query
  • 13.
  • 14. Working with search results • Working with a complete picture • Connecting with non-spatial data ObjectID sources ObjectID ObjectID ObjectID ObjectID • Getting the information you need ObjectIDObjectID ObjectID
  • 15. LIQ’s and FIQ’s Layer Information Specific feature Information
  • 16. Getting the information you need Current GDB Selected Feature Asset ID Asset Mgmt The information System I wish to display
  • 17. Getting the information you need Foreign Asset Id KEY ObjectID AssetID ObjectID GDB Asset ID AID Asset Mgmt System AssetID
  • 18. GDB link to 3rd party systems
  • 19. Getting the information you need ObjectID AssetID AID X Y Z What Dekho does: 1. Get AssetId by ObjectID (GDB) 2. Find row in AMS table based on AssetID 3. Select relevant fields (X,Y,Z)
  • 20. Getting the data you need Asset ID ObjectID+AssetID Mapping relationship SELECTION.AssetID = AMS.AssetID Asset Mgmt GDB System
  • 21. LIQ’s and FIQ’s Multiple queries span across multiple tabs
  • 22. Example: reviewing a property FIQ1 FIQ3 FIQ2 Owners history list Lot # information Related approvals
  • 24. Query types • Searching – Search – Combo + Typeahead • Result viewing – Layer Information Query – Feature Info Query • Others – Call out – Integration
  • 25. Callout Query • Any data source • Select relevant fields
  • 26. Dekho Integration Query • SQL query that translates one set of values (OBJECTID) to another (ASSETID)
  • 29. Query types • Searching – Search – Combo + Typeahead • Result viewing – Layer Information Query – Feature Info Query • Others – Call out – Integration
  • 30. Spatial selection I want users to search a heritage site and see properties that intersect with the selected heritage site
  • 31. Spatial selection Spatial query Property lot layer Heritage site layer Search query
  • 32. Queries points for consideration
  • 33. Remember!! • Spatial query is optional – Search query – Feature Info query • Results are from the TARGET layer
  • 34. Queries points for consideration • Renaming DB fields names to logical names select Field_Name1 as “User Friendly Name1” • Complete the picture vs. Information overload – Avoid select * statements – Use multiple FIQ’s and LIQ’s – Map to end user workflow • Query performance optimization
  • 35. Complete the picture… with queries..